Data Logging Engineer

Job Description

Description :

Perform system level log captures / analysis of several Network elements in the 4G / 5G Network architecture to identify root causes of product and key performance issues.

Document and maintain the troubleshooting steps including updating technical documentation for primary areas of responsibility

Identify automation opportunities & implement scripts for log analysis for discussions with external customers / internal customers

Strong on customer support as well as data analysis of logs etc.

Must be able to drive for issue resolution with other Engineering teams

Initial analysis of Network KPI degradation to quantify and qualify the issue

Be able to proactively perform Ad-hoc / periodic parameter audit issue signature audit and SW / FW audit

Ensure the latest ticket status ticket status is provided to the customers

Software and patch upgrades on network element to support feature testing and issue resolution verification

Provide 24X7 support as needed for commercial Network outages and network performance issues. Also provide technical reviews and provide support to customers as needed

Qualifications :

Bachelors Degree in Telecommunication or Network Engineering with at least 2 years of experience in Wireless Telecom environment.

Good knowledge of UNIX / LINUX operating systems

Good Scripting skills using but not limited to Python Shell or Perl

Strong documentation skills ability to communicate effectively a major team player in a small but dynamic environment

Strong knowledge of MS office tools like Excel power point and Word.

Good analytical skills to investigate and evaluate trending data for issue resolution

Good knowledge of 4G and 5G wireless network architecture concepts RAN protocols and eNB interfaces S1-MME S1-U is a plus

Good knowledge of trouble ticket and knowledge management systems

Willing to work during night to accommodate debugging involving offshore R&D teams

Required Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1